

	cd $firmpath
	global firstyear 1996
	global lastyear 2006 
	global time_constraint "" //"drop if firstyear_panel!=firstyear_sample" in a robustness, we add a constraint to deal with left censoring 
	global time_constraint2 "drop if firstyear_sample>2004" // drop right-censored seller-buyer relationships
    global product id_conc 
	global dim_decile $product  // we compute decile by product categories to better fit with the model, but it could be computed by $product & iso2 

			
	use $correspath/corres_nc8$firstyear$lastyear, clear
	keep if year==2002
	rename nc8 nc8_2002
	tostring nc8_2002, replace 
	replace nc8_2002="0"+ nc8_2002 if length(nc8_2002)==7 
	g hs6_2002=substr(nc8_2002,1,6) 
	egen count=count(id_conc), by(id_conc)
	drop if count>30 // drop 2 id_conc that have more than 30 CN8 products (79 and 139 resp.) 
	keep id_conc hs6 
	duplicates drop id_conc hs6, force 
	save temp, replace

	global variant _baseline // start from baseline data 
	use base_4decile$firstyear$lastyear$variant, clear 
	
	global variant topdecile // used to name the output 
	sort id_conc
	joinby id_conc using temp
	egen hs=group(hs6_2002)
	
	local 2 dur 
    collapse (mean) size `2' (median) med_size=size med_`2'=`2', by($product iso2 decile hs hs6_2002) 
	replace `2'=log(`2')
	g fdecile=log(log(10 - decile) - log(9 - decile))
	replace fdecile=log(log(1.1)) if decile==1 // this is for size from pctile 0.01 to pctile 0.1 
	replace fdecile=log(log(10)) if decile==10 // this is for size from pctile 0.9 to pctile 0.99 
	replace `2'=`2' /0.9 if decile==1 |decile==10 // to account for the fact that we drop the top1% and bottom 1%
	egen p=group($product)
	egen c=group(iso2)
	reghdfe `2' fdecile if decile>5, a(rs_topdecile=hs) // top deciles 
	collapse (mean) rs* `2', by(hs6)
	save $rspath/rs_$firstyear$lastyear$variant, replace // Relationship stickiness (rs) measures by product are in this dataset 
	
	erase temp.dta 